Summary
Overview
Work History
Education
Skills
Websites
Certification
Additional Information
Timeline
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Shashank Shekhar Pandey

Delhi

Summary

With over three years of experience in Data science, machine learning and Generative AI, I am committed to applying my expertise to improve data-driven decision-making and optimize business processes. I am dedicated to using advanced analytics to deliver impactful results and drive strategic growth within a dynamic organization.

Overview

3
3
years of professional experience
1
1
Certification

Work History

Data Scientist

Pai solutions pvt ltd
03.2022 - 05.2024
  • Designed and implemented scalable data architectures using Python enhancing data processing efficiency
  • Developed and deployed a business intelligence tool, integrating data from diverse sources, utilizing AWS services including SageMaker for model training
  • Developed predictive analytics models using Python and Scikit-learn, providing actionable insights and driving data-informed decision-making across various business functions
  • Engineered and deployed machine learning pipelines using TensorFlow on AWS, incorporating CI/CD practices to ensure continuous integration and efficient model updates
  • Built a text to sql tool using llama2, RAG chatbot, Built a real-time object detection using yolo
  • Developed and fine-tuned deep learning models, including CNNs and RNNs, to achieve state-of-the-art performance in image classification and natural language processing tasks, resulting in a 20% increase in model accuracy
  • Developed scalable AI applications using LangChain demonstrating expertise in generative AI technologies.

Machine Learning Engineer

ECPL
03.2021 - 02.2022
  • Developed and implemented multiple machine learning models for projects like "Customer Segmentation" (classification) and "Sales Forecasting" (regression), utilizing Python and libraries like scikit-learn and pandas for effective data analysis and model training.
  • Deployed machine learning applications using Flask, streamlit achieving seamless integration and deployment of models like "Risk Assessment" and "Product Recommendation" into production environments, enhancing decision-making processes
  • Leveraged advanced BI tools including Power BI, Tableau, IBM Cognos, and SAS for comprehensive data visualization and analytics across projects such as "Market Analysis Dashboard" and "Operational Efficiency Tracker", which facilitated data-driven insights and reporting for strategic planning.
  • Created interactive dashboards and reports using Power BI and Tableau for real-time data visualization, significantly enhancing business intelligence capabilities in projects such as "Inventory Management" and "Customer Service Insight

Education

MBA- Data analytics and intelligence -

SGVU
07.2024

BCA -

Jaipur national university, Jaipur
03.2022

Skills

  • Python
  • Machine learning
  • Deep learning
  • Computer vision
  • SQL
  • Mongodb
  • AWS
  • GCP
  • Tensorflow
  • Langchain
  • PowerBI
  • Snowflake
  • Pytorch
  • Scikit-learn

Certification

  • Learning with TensorFlow | Google Cloud | 2024
  • Python for Data science | IBM | 2021
  • Generative AI Architecture and Application Development | Edureeka | 2024
  • Data Analytics | Google | 2022
  • Machine learning | IBM | 2022
  • Statistics | Stanford University | 2023
  • Natural Language Processing | Google Cloud | 2023
  • Google Business Intelligence | Google | 2024

Additional Information

Customer Churn Prediction Model
Developed a machine learning model to identify high-risk customers, enabling proactive retention strategies and reducing churn by a significant margin. Leveraged advanced ML algorithms to analyze customer behavior patterns.
RAG Chatbot using LLaMA2 and Gemini
Designed a conversational AI chatbot utilizing LLaMA2 and Gemini models, enhancing user experience and significantly reducing support queries.

Natural Language to SQL Converter
Created a tool that translates natural language queries into SQL, streamlining data analysis and significantly reducing query execution time.
Fine-Tuning of Generative Models
Fine-tuned GPT-2 and LLaMA2 models for domain-specific tasks, achieving substantial improvements in model accuracy.

VisionTrack – Real-Time Object Detection
Developed a real-time object detection system using deep learning techniques to accurately track objects in video streams.
Dynamic Cryptocurrency Valuation Predictor
Built a predictive model for cryptocurrency valuation, providing actionable insights for investment decision-making.
Sentiment Analysis of Social Media
Analyzed social media data to assess market sentiment, aiding in business strategy formulation and decision-making.
Retail Inventory Demand Forecasting
Developed a demand forecasting model to optimize inventory levels, minimize stockouts, and enhance supply chain efficiency.
AI-Powered Email Generator
Created an intelligent email generator using LLaMA 3 for personalized, context-specific email for job JD extraction.
Time Series Forecasting Tool
Designed a forecasting tool to predict future trends, supporting proactive strategic decision-making.
Automated Machine Learning (AutoML) Tool
Developed an automated machine learning tool to streamline and accelerate the model development process.
Breast Cancer Detection Model
Created a predictive model for early detection of breast cancer from medical images, improving diagnostic accuracy.
Intelligent Product Recommendation System
Developed a personalized product recommendation engine to enhance customer experience and drive sales.

Timeline

Data Scientist

Pai solutions pvt ltd
03.2022 - 05.2024

Machine Learning Engineer

ECPL
03.2021 - 02.2022

MBA- Data analytics and intelligence -

SGVU

BCA -

Jaipur national university, Jaipur

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Shashank Shekhar Pandey